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glmnet

Lasso and elastic-net regularized generalized linear models
Jerome Friedman, Trevor Hastie, Rob Tibshirani
GPL-2
Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, poisson regression and the Cox model. Two recent additions are the multiresponse gaussian, and the grouped multinomial. The algorithm uses cyclical coordinate descent in a pathwise fashion, as described in the paper listed below.
Versions
Package Version Released
glmnet 1.9-5 1 year 16 weeks ago
glmnet 1.9-3 1 year 38 weeks ago
glmnet 1.9-1 1 year 41 weeks ago
glmnet 1.8-5 1 year 46 weeks ago
glmnet 1.8-4 1 year 47 weeks ago
glmnet 1.8-2 2 years 7 weeks ago
glmnet 1.8 2 years 20 weeks ago
glmnet 1.7.4 2 years 30 weeks ago
glmnet 1.7.3 2 years 40 weeks ago
glmnet 1.7.1 3 years 9 weeks ago
Reviews
So I am a tremendous fan of Professors Hastie, Tibshirani, and Friedman. They have defined the field for a long time now... I am a big proponent of \ell_1 regularization as I tend to be...
4
3.76389
Your rating: None Overall: 3.8 (144 votes)
3.265305
Your rating: None Documentation: 3.3 (98 votes)